RESUBMITTED LOTS WITH SINGLE SAMPLING PLAN BY ATTRIBUTES UNDER THE CONDITIONS OF POISSON DISTRIBUTION

• Main Author: NUGROHO (NIM : 23415044), BINTANG
• Format: Theses
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/21443
• Institution: Institut Teknologi Bandung

The most important consumer decision factors in the selection among competing products and services is quality. In the application of statistical methods to quality engineering, it is typical to classify data on quality characteristics as either attributes or variables data. One of the most important statistical tools widely used for this purpose is acceptance sampling. Acceptance sampling plans state the required <br /> <br /> sample size and the required acceptance or rejection criteria for lots sentencing. This thesis proposes resubmitted lots with single sampling plan (RSSP) by <br /> <br /> attributes under the conditions of Poisson distribution. Attributes RSSP under Poisson distribution will measure the quality characteristics on a numerical scale, <br /> <br /> with several advantages of having smaller sample size than traditional Single Sampling Plan under the same level of protection for both producer and customer. <br /> <br /> This is especially beneficial when the inspection is costly and destructive. For study purpose, tables for the required sample size and critical acceptance value of various combinations of quality levels, producer’s risk and consumer’s risk are constructed. Furthermore, the behaviors of the RSSP under Poisson distribution with various conditions are also shown and discussed. A numerical example is provided to illustrate and demonstrate how to use the RSSP under Poisson distribution in the real applications in this case is applied to the food sampling.